A Smart Space-Based Design of Semantic Layer for Advancing Museum Information Services

Transcription

1 Petrozavodsk State University Department of Computer Science Sergey Marchenkov, Andrey Vdovenko, Oksana Petrina, Dmitry Korzun A Smart Space-Based Design of Semantic Layer for Advancing Museum Information Services The work is supported by the Ministry of Education and Science of Russia within project # (RFMEFI57414X0060) of Federal Target Program Research and development on priority directions of scientific-technological complex of Russia for th FRUCT Conference November 9, 2016, Jyväskylä, Finland FRUCT19 Andrey Vdovenko 1 / 13

2 The History Museum of PetrSU It has the museum information system (MIS). Exhibits are presented as photographs and various textual documents, newspapers, academic journals, etc. It is oriented to everyday life history. Virtual exposition is presented on eight touch-screens. FRUCT19 Andrey Vdovenko 2 / 13

3 Semantic Layer in a Smart Museum The layer aims at solving the following application problems: 1 adding text and voice semantic annotation about the exhibits by the visitors and museums personnel collectively; 2 semantic information linking of annotations about the exhibits in the museum collection; 3 personalized search for information about the exhibits based on user requests taking into account the context; 4 automatic generation of a virtual exposition based personalized context information. FRUCT19 Andrey Vdovenko 3 / 13

4 Smart Museum Environment The layer becomes responsible for construction and delivery of semantic services: visit service; exhibition service; semantic enrichment service. Smart museum space follows an ontology and is represented using RDF. The semantic network is a directed graph consisting of nodes, which represent exhibits, events, persons, etc. FRUCT19 Andrey Vdovenko 4 / 13

5 Software Infrastructure Software infrastructure implements the semantic layer as the multi-agent service-oriented information system. Software infrastructure is based on Smart-M3 platform. It consists of the semantic information broker (SIB) and knowledge processors (KP). FRUCT19 Andrey Vdovenko 5 / 13

6 Classes of IoT-enabled devices Class of devices Public multimedia devices Personal devices mobile Server machines Local computers Smart IoT devices Network communication devices Description They include interactive screens, media projectors, and microphones. The devices are primarily for service consumption by visualization. They include smartphones, tablets, and laptops. The devices can be used for personalized service delivery and participation in the activity. They are responsible for data storage and processing functions. Typically the devices are non-local, e.g., a server is in the corporate network or in the Internet. They are responsible for service construction based on search and analysis of shared content in the semantic network. Typically, they are physically present in the room. They represent physical things augmenting them with processing and communication capabilities, e.g., a exhibit is equipped with RFID to provide description for close devices. They create local area networks such that all other participating devices can communicate locally as well as have access to external resources. FRUCT19 Andrey Vdovenko 6 / 13

7 Visit service The service is responsible for construction of a visit program and for visualization of this program on the main screen. FRUCT19 Andrey Vdovenko 7 / 13

8 Exhibition service The service performs selection of exhibits from the created visit program for formation of virtual exhibitions on a series of screens. FRUCT19 Andrey Vdovenko 8 / 13

9 Semantic Enrichment Service The result of the service is enrichment of museum information model. FRUCT19 Andrey Vdovenko 9 / 13

10 Ontology for Visit Program Class Visit Program stores a title, description, time stamp, and exposition structure. Property firstexhibitslot is used to arrange the exposition structure. Class Relation provides linking capabilities of exhibits. Data property RelationType expresses relation between other exhibits and persons. FRUCT19 Andrey Vdovenko 10 / 13

11 Ontology for Visitor Profile Class Person represents a visitor following the FOAF specification. Linking a person to profile provides search function for making recommendations. User context is the important point for semantic search. The user has preferences in the terms of interesting exhibits for her/him. FRUCT19 Andrey Vdovenko 11 / 13

12 Notification Model Based on publish/subscribe model. Simplifying interaction between agents. Activity individual variant solves the task for notification of a concrete user about updates in her/his exhibits. Name Description KP Semantic Analysis Carrying out additional analysis to Notification newexhibit discover new relations with Parameter Exhibit appearance of new Exhibit. KP Semantic Analysis Carrying out additional analysis to Notification newexhibitreview discover new relations with Parameter ExhibitReview appearance of new ExhibitReview. KP Visit program Screen content changing Notification changescreenmode accordingly with parameter Parameter screenmode screenmode. KP Expositions coordinator Notification changeslide Changing current slide on screen. Parameter slideurl FRUCT19 Andrey Vdovenko 12 / 13

13 Conclusion Studied the semantic layer represents the opportunities for constructing services that enhance the existing MIS. Developed design of the semantic layer implements the latter as a Smart-M3-based software infrastructure. The proposed solutions were analyzed in respect to the case study of the History Museum of PetrSU. The proposed solutions can serve as reference ones for development of other museums and cultural heritage areas. Thank you for attention vdovenko@cs.karelia.ru FRUCT19 Andrey Vdovenko 13 / 13